Clinical, Biological and Ct Predictors of In-Hospital Mortality in Ischemic Stroke Patients in Central AfricaMichel Lelo Tshikwela1*, Gloria Bugugu Cinama1, Stéphane Yanda Tongo1, Emmanuel Ndoma Kabu1, Fabien Kintoki Mbala2, François Lepira Bompeka3 and Euletère Kintoki Vita2
- *Corresponding Author:
- Michel Lelo Tshikwela
Department of Radiology
Kinshasa University School of Medicine and Hospital
Kinshasa, Democratic Republic of the Congo
Tel: +243 999907216
E-mail: [email protected]
Received Date: September 19 2015; Accepted Date: October 30, 2015; Published Date: November 06, 2015
Citation: Tshikwela ML, Cinama GB, Tongo SY, Kabu EN, Mbala FK, et al. (2015) Clinical, Biological and Ct Predictors of In-Hospital Mortality in Ischemic Stroke Patients in Central Africa. J Trop Dis 4:186. doi:10.4172/2329-891X.1000186
Copyright: © 2015 Tshikwela ML, et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Background: Stroke a major public health problem, its management remains a challenge for the medical professionals. We investigated the clinical, simple biological and tomographic determinants of outcome in patients suffering of ischemic stroke.
Materials and methods: This prospective study was conducted at Kinshasa university hospital from January 2011 to June 2014. A total of 104 consecutive patients with first-ever ischemic stroke confirmed by computed tomography examination were enrolled for the study. The parameters of interest were clinical, routine biochemical and radiological data within the 3 first days of symptom onset. Logistic regression was used to identify independent determinants of mortality risk.
Results: The average age of patients was 62 ± 14 years old with 68% of male. Among the 22 patients (21%) who died, in univariate analysis, factors associated with lethality were the Glasgow score <9, higher elevated erythrocyte sedimentation rate >40 mm/1h, higher leukocytosis > 10.000 elements/mm3 and non-lacunar brain infarct. On multiple logistic regression analysis, higher elevated erythrocyte sedimentation rate (OR 1.8; 95% CI 1.22 to 89.35; p=0.032), lesion located in infra-tentorial area (OR 4.7; 95% CI 1.30 to 16.38; p=0.017) and hemorrhagic infarct (OR 10.6; 95% CI 2.21 to 77.89; p=0.005) were essentially independent determinants of ischemic stroke mortality.
Conclusion: The study seems to determine factors associated with mortality in patients suffering from cerebral infarction. Glasgow score and routine biomarkers may be useful in low setting area to assess mortality in ischemic stroke patient.